Self-assessment tool standardizes data center efficiency evaluation

What the study found: The authors present a Self-Assessment Tool (SAT) for evaluating the thermal and energy performance of data centers. The tool can use real-time monitoring data or imported historical data to calculate standardized performance metrics and generate assessment reports.
Why the authors say this matters: The study suggests this is relevant because data center energy use is increasing and current assessment reporting is difficult because collecting data and calculating key performance indicators during the reporting period is complex.
What the researchers tested: The researchers introduced a unified, modular, and extensible framework based on IT and cooling data from data monitoring systems. They also validated it on two pilot data centers in Denmark and Switzerland.
What worked and what didn't: The SAT calculates thermal metrics including RCI, RHI, RTI, RI, and LI, and energy metrics including PUE and COP. The abstract says it automatically generates assessment reports with time-series visualizations, rack-level thermal maps, and energy-efficiency classifications; it does not describe any failures or comparative performance results.
What to keep in mind: The available summary does not describe limitations in detail. The framework is described as deployable as either a standalone or web-based service, and the abstract does not provide more specific constraints on scope or performance.

Key points

• The paper presents a Self-Assessment Tool for data center thermal and energy performance.
• The tool can use real-time monitoring data or imported historical data.
• It calculates standardized thermal metrics (RCI, RHI, RTI, RI, LI) and energy metrics (PUE, COP).
• The abstract says it generates automated assessment reports with visualizations, thermal maps, and efficiency classifications.
• The framework was validated on two pilot data centers in Denmark and Switzerland.